Top Tech Jobs & Startup Jobs

Own product outcomes from problem definition through launch and optimization. Partner with Engineering, Design, Analytics, Marketing, and Operations to prioritize and deliver products. Lead customer discovery, research, experimentation, roadmap development, metric definition, and data-informed decision-making. Communicate with stakeholders, manage dependencies and trade-offs, facilitate workshops, and connect product strategy to organizational goals. Hiring may occur at Product Manager, Senior Product Manager, or Lead Product Manager levels.

Lead cloud financial management initiatives across AWS and DataDog, including cost optimization, budgeting, forecasting, usage analysis, and cost modeling. Manage cloud cost tools, establish usage policies, define efficiency metrics, and translate financial insights for stakeholders. Partner with Finance, Product, and Engineering teams to embed FinOps practices, improve accountability, and balance performance, security, and cost. Mentor teams and drive continuous cloud efficiency improvements.

Leads cloud financial management across AWS and DataDog, optimizing costs, budgets, forecasts, usage policies, and efficiency metrics. Analyzes spending and usage data, manages cost-management tools, translates financial insights for stakeholders, and partners with Finance, Product, and Engineering. The role also mentors teams, drives FinOps adoption, and balances performance, security, and cost while using Terraform and cloud engineering practices.

The VP of Marketing Analytics will lead the measurement of media investments and partnerships at FanDuel, develop analytics frameworks, and drive strategic insights for investment decisions.

Lead strategy and execution for FanDuel’s account management and profile experiences across Sportsbook, Casino, Racing, DFS, and other products. Own account journeys, self-service capabilities, compliance-sensitive experiences, metrics, experimentation, and product quality. Partner with Engineering, Risk, Compliance, Legal, Finance, and other teams to deliver scalable customer experiences, manage cross-functional initiatives, influence stakeholders, and develop product talent.

Build and maintain secure, scalable login, identity, registration, authentication, and account verification systems. Develop backend APIs and full-stack applications using Java, Python, TypeScript, React, and AWS technologies. Write high-quality, tested, maintainable code; participate in design, planning, reviews, and support; resolve complex technical issues; improve software processes; lead projects; and mentor junior engineers.

Product Manager responsible for advancing FanDuel’s core search and AceAI experiences. Leads multiple autonomous pods, defines problems and priorities, writes product specifications, removes blockers, and coordinates engineers, designers, analytics, and operations. Owns search relevance, query understanding, ranking, filtering, and AI-assisted betting guidance. Uses research, data analysis, competitive insights, and A/B testing to define success criteria, measure outcomes, and improve customer engagement, conversion, and retention.

Lead and manage a data science team building production-ready machine learning models to predict sports outcomes, price markets, create dashboards, and drive insights. Collaborate with product, risk, and trading teams; oversee data collection and cleaning; apply Bayesian methods; troubleshoot code; present to senior leaders; hire and develop talent; improve processes and automation.

Design, run, and analyze experiments (A/B/n) to optimize personalization, retention, and loyalty for Sportsbook marketing. Partner with marketing, ML engineering, and data teams to advance experimentation tools, automate analyses, and present actionable insights to stakeholders to inform promotional strategy.

Lead product analytics and experimentation to drive business decisions. Deliver timely, high-quality insights, mentor junior analysts, design and run complex A/B tests, build measurement solutions and visualizations, and partner with product and commercial teams to define success metrics and integrate AI into analytic workflows.